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  • © 2018

VipIMAGE 2017

Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017

Conference proceedings info: ECCOMAS 2017.

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Table of contents (126 papers)

  1. Front Matter

    Pages i-xxix
  2. Invited Lectures

    1. Front Matter

      Pages 1-1
    2. Quantitative MR Image Analysis for Brain Tumor

      • Zeina A. Shboul, Sayed M. S. Reza, Khan M. Iftekharuddin
      Pages 10-18
  3. Contributed Papers

    1. Front Matter

      Pages 19-19
    2. Foot Pressure Distribution of Patients with Hallux Valgus During Walking up and Down Stairs

      • Linda Pinto, Luis Roseiro, Luís Margalho, Francisco Gomes, Tiago Roseiro, Pedro Carvalhais
      Pages 21-26
    3. A Variational Model for Image Artifact Correction Based on Wasserstein Distance

      • Isabel Narra Figueiredo, Luís Pinto, Gil Gonçalves, Björn Engquist
      Pages 43-51
    4. Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences

      • Lenka Bódiová, Ondřej Tichý, Václav Šmídl
      Pages 52-61
    5. Cluster Analysis of Functional Neuroimages Using Data Reduction and Competitive Learning Algorithms

      • Alberto A. Vergani, Samuele Martinelli, Elisabetta Binaghi
      Pages 62-71
    6. Development of Activities for Human-Robot Interaction: Preliminary Results

      • Pedro Costa, Helder Freitas, Filomena Soares, João Sena Esteves
      Pages 72-81
    7. Soft Computing Based Technique for Optic Disc and Cup Detection in Digital Fundus Images

      • P. Bibiloni, M. González-Hidalgo, S. Massanet, A. Mir, D. Ruiz-Aguilera
      Pages 82-91
    8. Automatic Segmentation of the Lumen in Magnetic Resonance Images of the Carotid Artery

      • Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares
      Pages 92-101
    9. Adaptive Bias Field Correction: Application on Abdominal MR Images

      • Evgin Goceri, Esther Dura, Juan Domingo Esteve, Melih Gunay
      Pages 102-110
    10. Super-Resolution Reconstruction of Plane-Wave Ultrasound Imaging Based on the Improved CNN Method

      • Zixia Zhou, Yuanyuan Wang, Jinhua Yu, Wei Guo, Zhenghan Fang
      Pages 111-120
    11. N-D Point Cloud Registration for Intensity Normalization on Magnetic Resonance Images

      • Yuan Gao, Jiawei Pan, Yi Guo, Jinhua Yu, Jun Zhang, Daoying Geng et al.
      Pages 121-130
    12. An Area-Based Measure of Directional Convexity for Grayscale Images

      • Péter Bodnár, Péter Balázs
      Pages 131-139
    13. Analysis of Crowdsourced Images for Flooding Detection

      • Megan A. Witherow, Mohamed I. Elbakary, Khan M. Iftekharuddin, Mecit Cetin
      Pages 140-149
    14. Adaptive Differential Pulse Coding for ECG Signal Compression

      • M. Soliman, Ahmed El-Rafei, Mohamed El-Nozahi, Hani Ragai
      Pages 150-159
    15. Space-Variant TV Regularization for Image Restoration

      • A. Lanza, S. Morigi, M. Pragliola, F. Sgallari
      Pages 160-169

Other Volumes

  1. VipIMAGE 2017

About this book

This book gathers papers presented at the VipIMAGE 2017-VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. It highlights invited lecturers and full papers presented at the conference, which was held in Porto, Portugal, on October 18–20, 2017. These international contributions provide comprehensive coverage on the state-of-the-art in the following fields: 3D Vision, Computational Bio-Imaging and Visualization, Computational Vision, Computer Aided Diagnosis, Surgery, Therapy and Treatment, Data Interpolation, Registration, Acquisition and Compression, Industrial Inspection, Image Enhancement, Image Processing and Analysis, Image Segmentation, Medical Imaging, Medical Rehabilitation, Physics of Medical Imaging, Shape Reconstruction, Signal Processing, Simulation and Modelling, Software Development for Image Processing and Analysis, Telemedicine Systems and their Applications, Tracking and Analysis of Movement, and Deformation and Virtual Reality.

In addition, it explores a broad range of related techniques, methods and applications, including: trainable filters, bilateral filtering, statistical, geometrical and physical modelling, fuzzy morphology, region growing, grabcut, variational methods, snakes, the level set method, finite element method, wavelet transform, multi-objective optimization, scale invariant feature transform, Laws’ texture-energy measures, expectation maximization, the Markov random fields bootstrap, feature extraction and classification, support vector machines, random forests, decision trees, deep learning, and stereo vision.

Given its breadth of coverage, the book offers a valuable resource for academics, researchers and professionals in Biomechanics, Biomedical Engineering, Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics, Signal Processing, Medicine and Rehabilitation.

Editors and Affiliations

  • Universidade do Porto, Porto, Portugal

    João Manuel R.S. Tavares, R.M. Natal Jorge

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access